Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
7.1. From Frequent Pattern Mining to Phrase Mining
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Skills You'll Learn
Streams, Sequential Pattern Mining, Data Mining Algorithms, Data Mining
Reviews
4.3 (299 ratings)
Jan 17, 2021
Excellent introduction to pattern mining algorithms. I also like liked the fact that there are hands on assignments not just theory.
Dec 31, 2020
Useful course. It covers all the fundamentals of data mining patterns for a wide spectrum of datasets.
From the lesson
Week 4
Module 4 consists of two lessons: Lessons 7 and 8. In Lesson 7, we study mining quality phrases from text data as the second kind of pattern mining application. We will mainly introduce two newer methods for phrase mining: ToPMine and SegPhrase, and show frequent pattern mining may be an important role for mining quality phrases in massive text data. In Lesson 8, we will learn several advanced topics on pattern discovery, including mining frequent patterns in data streams, pattern discovery for software bug mining, pattern discovery for image analysis, and pattern discovery and society: privacy-preserving pattern mining. Finally, we look forward to the future of pattern mining research and application exploration.
Taught By
Jiawei Han
Abel Bliss Professor
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